Arash Mohebbi

Appraisal of artificial neural networks to the emission analysis and prediction of CO2, soot, and NOx of n-heptane fueled engine

Hadi Taghavifar, Hadi Taghavifar, Aref Mardani et al. · Journal of Cleaner Production · 2015 · 78 citations

Engineering, Chemical Engineering, Computer Science +14

Experimental investigation of performance and emission characteristics of DI diesel engine fueled with polymer waste dissolved in biodiesel-blended diesel fuel

Pouya Mohammadi, Ali M. Nikbakht, Meisam Tabatabaei et al. · Energy · 2012 · 65 citations

Engineering, Automotive Engineering, Chemical Engineering +17

Modeling the impact of in-cylinder combustion parameters of DI engines on soot and NOx emissions at rated EGR levels using ANN approach

Hamid Taghavifar, Aref Mardani, Arash Mohebbi · Energy Conversion and Management · 2014 · 49 citations

Engineering, Computational Engineering, Mechanical Engineering +17

Exhaust emissions prognostication for DI diesel group-hole injectors using a supervised artificial neural network approach

Hadi Taghavifar, Hamid Taghavifar, Aref Mardani et al. · Fuel · 2014 · 42 citations

Engineering, Automotive Engineering, Computer Science +16

A numerical investigation on the wall heat flux in a DI diesel engine fueled with n-heptane using a coupled CFD and ANN approach

Hamid Taghavifar, Arash Mohebbi, Shahram Khalilarya · Fuel · 2014 · 31 citations

Engineering, Chemical Engineering, Mechanical Engineering +17